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Intent Justification

Evidence-based documentation showing the technical necessity of the Message Content Intent for Arklynn's automated systems.

Leveling Engine

Calculates XP based on text quality. Uses a spam-filter to ensure users only rank up through genuine engagement.

Auto-Logging

Enabled via /setup_autologs. Passively captures security-relevant message data for moderation audits.

Anti-Ghostping

Detects anonymous mentions in real-time before they are deleted, ensuring server accountability.

Counter Validation

Monitors /setup_count channels to verify if messages match the next integer in the sequence.

Professional UI & Personalization

Our interaction model is strictly based on Slash Commands. Features like Theme Selection and Profile Viewing demonstrate our commitment to Discord's modern Application Command API.

Slash Command Menu Slash Command Menu
Level Card Theme Theme Selection

Live Technical Demo

To ensure maximum performance and security, you can watch our technical demonstration directly on YouTube. The video verifies that Arklynn distinguishes between organic engagement and gibberish.

Watch Technical Demo
Note: Clicking the button will open a new tab. This demo showcases the Message Content Intent in action within our leveling ecosystem.

Data Flow Architecture

This diagram illustrates how message data flows through our system and demonstrates our zero-retention policy:

User Message Posted in Discord
Bot Gateway Message received via WebSocket
Security Check Phishing & Spam Detection
Metadata Only User ID, Timestamp, Channel ID
XP Calculation Quality & Length Analysis
XP Points Only Numeric value stored
Feature Logic Counting, AFK, Commands
State Update Only Counter value, flags
Content Purged Message text deleted from memory
Process Complete Zero message content retained
What We Store
  • User ID (for XP tracking)
  • XP Points (numeric)
  • Timestamp (for cooldowns)
  • Channel/Server ID (for features)
  • Feature states (counter values, flags)
What We Delete
  • Message content/text
  • Attachments
  • Embeds
  • User-generated content
  • Conversation context

Interface vs. Backend

This table demonstrates how user-facing Slash Commands rely on backend Message Content analysis:

Module User Interaction Intent Purpose
Level System /level Anti-Abuse content analysis & XP calculation.
Security Audit /setup_autologs Monitoring content for Ghostpings and edits.
AFK Protection /afk Detecting activity triggers in passive chat flow.
Counting Game /setup_count Validating raw message content for numbers.